Knowledge inference techniques for financial health diagnosis of power grid enterprises

Abstract

The knowledge inference techniques for financial health diagnosis of power grid enterprises was studied.Combining experts system with neural network,expert system framework was used,finishing storage and representation of partial knowledge with neural network,thus overcoming the limitations of traditional diagnosismethods,organi cally integrating experts’knowledge in the field with self-learning abilities of neutral network.More accurate real-time status detection and intelligent diagnosis for financial health of power grid enterprise were realized.

Keywords

• financial health;detection and diagnosis;knowledge inference;expert system;neural network